Artificial Intelligence is transforming GI endoscopy by improving detection accuracy, enhancing diagnosis, and supporting ...

Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

The medical sector is one of the major adopters of artificial intelligence (AI), which is currently being used to synthesize new compounds for drugs and create devices for more precise measurement and ...

Gastroenterology groups are selling AI as their growth engine, from recruiting and colonoscopy detection to pitching skeptical millennial hires, but a Johns Hopkins study found physicians actually ...

The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...

Charles G. Goulding highlights how pioneering advancements in photonics manufacturing can be enhanced with 3D printing and ...

Introduction Gastric intestinal metaplasia (GIM) and gastric dysplasia are critical precursors in the Correa cascade of gastric carcinogenesis. Although multiple image-enhanced endoscopy (IEE) ...

Objective The effect of colonoscopy on colorectal cancer mortality is limited by several factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs). We investigated the ...

At the Hong Kong University of Science and Technology in Guangzhou, students can listen to lectures given by AI avatars that ...

In experiments in which physicians made decisions about treating hypothetical patients, the physicians tended to trust ...